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Reading list

Machine Learning Basics for a Newbie
6 Steps of Machine learning Lifecycle Introduction to Predictive Modeling
Introduction to Exploratory Data Analysis & Data Insights Descriptive Statistics Inferential Statistics How to Understand Population Distributions?
Reading Data Files into Python Different Variable Datatypes
Probability for Data Science Basic Concepts of Probability Axioms of Probability Conditional Probability
Central Tendencies for Continuous Variables Spread of Data KDE plots for Continuous Variable Overview of Distribution for Continuous variables Normal Distribution Skewed Distribution Skeweness and Kurtosis Distribution for Continuous Variable
Central Tendencies for Categorical Variables Understanding Discrete Distributions Performing EDA on Categorical Variables
Dealing with Missing Values Understanding Outliers Identifying Outliers in Data Outlier Detection in Python Outliers Detection Using IQR, Z-score, LOF and DBSCAN
Sample and Population Central Limit Theorem Confidence Interval and Margin of Error
Bivariate Analysis Introduction
Covariance Pearson Correlation Spearman's Correlation & Kendall's Tau Correlation versus Causation Tabular and Graphical methods for Bivariate Analysis Performing Bivariate Analysis on Continuous-Continuous Variables
Tabular and Graphical methods for Continuous-Categorical Variables Introduction to Hypothesis Testing P-value Two sample Z-test T-test T-test vs Z-test Performing Bivariate Analysis on Continuous-Catagorical variables
Chi-Squares Test Bivariate Analysis on Categorical Categorical Variables
Multivariate Analysis A Comprehensive Guide to Data Exploration The Data Science behind IPL
Supervised Learning vs Unsupervised Learning Reinforcement Learning Generative and Descriminative Models Parametric and Non Parametric model
Machine Learning Pipeline Preparing Dataset Build a Benchmark Model: Regression Build a Benchmark Model: Classification
Evaluation Metrics for Machine Learning Everyone should know Confusion Matrix Accuracy Precision and Recall AUC-ROC Log Loss R2 and Adjusted R2
Dealing with Missing Values Replacing Missing Values Imputing Missing Values in Data Working with Categorical Variables Working with Outliers Preprocessing Data for Model Building
Understanding Cost Function Understanding Gradient Descent Math Behind Gradient Descent Assumptions of Linear Regression Implement Linear Regression from Scratch Train Linear Regression in Python Implementing Linear Regression in R Diagnosing Residual Plots in Linear Regression Models Generalized Linear Models Introduction to Logistic Regression Odds Ratio Implementing Logistic Regression from Scratch Introduction to Scikit-learn in Python Train Logistic Regression in python Multiclass using Logistic Regression How to use Multinomial and Ordinal Logistic Regression in R ? Challenges with Linear Regression Introduction to Regularisation Implementing Regularisation Ridge Regression Lasso Regression
Introduction to K Nearest Neighbours Determining the Right Value of K in KNN Implement KNN from Scratch Implement KNN in Python
Bias Variance Tradeoff Introduction to Overfitting and Underfitting Visualizing Overfitting and Underfitting Selecting the Right Model What is Validation? Hold-Out Validation Understanding K Fold Cross Validation
Introduction to Feature Selection Feature Selection Algorithms Missing Value Ratio Low Variance Filter High Correlation Filter Backward Feature Elimination Forward Feature Selection Implement Feature Selection in Python Implement Feature Selection in R
Introduction to Decision Tree Purity in Decision Tree Terminologies Related to Decision Tree How to Select Best Split Point in Decision Tree? Chi-Squares Information Gain Reduction in Variance Optimizing Performance of Decision Tree Train Decision Tree using Scikit Learn Pruning of Decision Trees
Introduction to Feature Engineering Feature Transformation Feature Scaling Feature Engineering Frequency Encoding Automated Feature Engineering: Feature Tools
Introduction to Naive Bayes Conditional Probability and Bayes Theorem Introduction to Bayesian Adjustment Rating: The Incredible Concept Behind Online Ratings! Working of Naive Bayes Math behind Naive Bayes Types of Naive Bayes Implementation of Naive Bayes
Understanding how to solve Multiclass and Multilabled Classification Problem Evaluation Metrics: Multi Class Classification
Introduction to Ensemble Techniques Basic Ensemble Techniques Implementing Basic Ensemble Techniques Finding Optimal Weights of Ensemble Learner using Neural Network Why Ensemble Models Work well?
Introduction to Stacking Implementing Stacking Variants of Stacking Implementing Variants of Stacking Introduction to Blending Bootstrap Sampling Introduction to Random Sampling Hyper-parameters of Random Forest Implementing Random Forest Out-of-Bag (OOB) Score in the Random Forest IPL Team Win Prediction Project Using Machine Learning Introduction to Boosting Gradient Boosting Algorithm Math behind GBM Implementing GBM in python Regularized Greedy Forests Extreme Gradient Boosting Implementing XGBM in python Tuning Hyperparameters of XGBoost in Python Implement XGBM in R/H2O Adaptive Boosting Implementing Adaptive Boosing LightGBM Implementing LightGBM in Python Catboost Implementing Catboost in Python
Different Hyperparameter Tuning methods Implementing Different Hyperparameter Tuning methods GridsearchCV RandomizedsearchCV Bayesian Optimization for Hyperparameter Tuning Hyperopt
Understanding SVM Algorithm SVM Kernels In-depth Intuition and Practical Implementation SVM Kernel Tricks Kernels and Hyperparameters in SVM Implementing SVM from Scratch in Python and R
Introduction to Principal Component Analysis Steps to Perform Principal Compound Analysis Computation of Covariance Matrix Finding Eigenvectors and Eigenvalues Implementing PCA in python Visualizing PCA A Brief Introduction to Linear Discriminant Analysis Introduction to Factor Analysis
Introduction to Clustering Applications of Clustering Evaluation Metrics for Clustering Understanding K-Means Implementation of K-Means in Python Implementation of K-Means in R Choosing Right Value for K Profiling Market Segments using K-Means Clustering Hierarchical Clustering Implementation of Hierarchial Clustering DBSCAN Defining Similarity between clusters Build Better and Accurate Clusters with Gaussian Mixture Models
Understand Basics of Recommendation Engine with Case Study
8 Ways to Improve Accuracy of Machine Learning Models
Introduction to Dask Working with CuML
Introduction to Machine Learning Interpretability Framework and Interpretable Models model Agnostic Methods for Interpretability Implementing Interpretable Model Understanding SHAP Out-of-Core ML Introduction to Interpretable Machine Learning Models Model Agnostic Methods for Interpretability Game Theory & Shapley Values
Introduction to Machine Learning Interpretability Framework and Interpretable Models model Agnostic Methods for Interpretability Implementing Interpretable Model Understanding SHAP Out-of-Core ML Introduction to Interpretable Machine Learning Models Model Agnostic Methods for Interpretability Game Theory & Shapley Values
Introduction to AutoML Implementation of MLBox Introduction to PyCaret TPOT Auto-Sklearn EvalML
Pickle and Joblib Introduction to Model Deployment
Deploying Machine Learning Model using Streamlit Deploying ML Models in Docker Deploy Using Streamlit Deploy on Heroku Deploy Using Netlify Introduction to Amazon Sagemaker Setting up Amazon SageMaker Using SageMaker Endpoint to Generate Inference Deploy on Microsoft Azure Cloud Introduction to Flask for Model Deploying ML model using Flask
Model Deployment in Android Model Deployment in Iphone

The Ultimate Guide to Acing Your Git Interview Questions in 2025

D
Deepsandhya Shukla Last Updated : 27 Nov, 2024
8 min read

Introduction

In today’s software development landscape, Git has become an essential tool for version control. Whether you are a beginner or an experienced developer, having a strong understanding of Git is crucial for success. This article will explore 40 Git interview questions to help you prepare for your next job interview in 2025.

git interview questions

Also Read: New to Git and GitHub? This Essential Beginners Guide is for you

Table of contents

Git Basics

Q1. What is Git?

A. Git is a distributed version control system that allows multiple developers to collaborate on a project simultaneously. It tracks changes to files and directories, making managing and merging code easy.

Q2. Why is Git important in the software development process?

A. Git enables developers to work on different features or bug fixes simultaneously without interfering with each other’s work. It provides a safe and efficient way to manage code changes, track progress, and collaborate effectively.

Q3. How does Git differ from other version control systems?

Unlike centralized version control systems, Git is distributed, meaning each developer has a complete repository copy. This allows for offline work, faster operations, and better collaboration.

Q4. What are the advantages of using Git?

A. Git offers numerous advantages, including:

  • Fast and efficient performance
  • Distributed architecture for offline work
  • Easy branching and merging
  • Built-in conflict resolution
  • Detailed commit history and tracking
  • Integration with various tools and platforms

Git Workflow

Q5. How do you initialize a Git repository?

A. To initialize a Git repository, navigate to the project directory in the command line and run the command “git init.” This creates a new Git repository in the current directory.

Also Read: TOP 10 GitHub Repositories for Data Science

Q6. What is a commit in Git?

A. A commit in Git represents a snapshot of the project at a specific point in time. It includes changes to files and directories and a unique commit hash identifier.

Q7. How do you create a new branch in Git?

A. To create a new branch in Git, use the command “git branch <branch_name>.” This creates a new branch based on the current branch or commit.

Q8. How do you switch between branches in Git?

A. To switch between branches in Git, use the command “git checkout <branch_name>.” This allows you to work on a different branch and access its code and history.

Q9. What is a merge conflict in Git, and how do you resolve it?

A. A merge conflict occurs when Git cannot automatically merge two branches due to conflicting changes in the same file. To resolve a merge conflict, you must manually edit the conflicting file, choose the desired changes, and commit the resolved version.

Q10. How do you undo the last commit in Git?

A. To undo the last commit in Git, you can use the command “git revert HEAD.” This creates a new commit that undoes the changes made in the last commit.

Q11. What is the difference between Git pull and Git fetch?

A. Git pull combines two commands: “git fetch” and “git merge.” It fetches the latest changes from a remote repository and merges them into the current branch. On the other hand, “git fetch” only downloads the latest changes without merging them.

Git Branching and Merging

Q12. What is the purpose of branching in Git?

A. Branching allows developers to create separate lines of development within a Git repository. It enables parallel work on different features, bug fixes, or experiments without affecting the main codebase.

Q13. How do you create a new branch in Git?

A. To create a new branch in Git, use the command “git branch <branch_name>.” This creates a new branch based on the current branch or commit.

Q14. How do you merge branches in Git?

A. To merge branches in Git, use the command “git merge <branch_name>.” This combines the changes from the specified branch into the current branch.

Q15. What is a fast-forward merge in Git?

A. A fast-forward merge occurs when the branch being merged has no new commits since the branch it is being merged into. In this case, Git moves the current branch’s pointer to the merged branch’s latest commit.

Q16. What is a three-way merge in Git?

A. A three-way merge occurs when Git needs to combine changes from two different diverged branches. It compares the changes made in each branch and creates a new commit that includes both sets of changes.

Q17. How do you delete a branch in Git?

A. To delete a branch in Git, use the command “git branch -d <branch_name>.” This removes the specified branch from the repository.

Git Advanced Topics

Q18. What is Git stash, and how does it work?

A. Git stash allows you to save changes not ready to be committed temporarily. It creates a “stash” that can be reapplied later or merged into another branch.

Q19. How do you cherry-pick a commit in Git?

A. To cherry-pick a commit in Git, use the command “git cherry-pick <commit_hash>.” This applies to the changes made in the specified commit to the current branch.

Q20. What is Git bisect, and how does it help in debugging?

A. Git bisect is a command that helps find the commit that introduced a bug. It uses a binary search algorithm to narrow the range of commits to be tested efficiently.

Q21. How do you use Git submodules?

A. Git submodules allow you to include another repository as a subdirectory within your repository. This is useful when you want to include external dependencies or reuse code from other projects.

Q22. What is Git blame, and how does it work?

A. Git blame is a command that shows the author and last modification details of each line in a file. It helps in identifying who made specific changes and when.

Q23. How do you configure Git to ignore files?

A. To configure Git to ignore files, create a file named “.gitignore” in the repository’s root directory. Add file patterns or directories to this file, and Git will ignore them when tracking changes.

Q24. What is the purpose of the “gitignore” file in Git?

A. The “gitignore” file is used to specify files or patterns that should be ignored by Git when tracking changes. It helps prevent unnecessary files, such as build artifacts or temporary files, from being included in the version control system.

Q25. Explain the difference between a Git clone and a Git fork.

A. A Git clone creates a copy of a repository, including all its history, on the local machine. On the other hand, a Git fork is a copy of a repository on a remote server, typically hosted on platforms like GitHub or GitLab. Forks are often used in collaborative development, allowing contributors to propose changes without directly modifying the original repository.

Q26. What is the purpose of Git hooks, and can you give an example of when they might be useful?

A. Git hooks are scripts that run automatically at specific points in the Git workflow. For example, a pre-commit hook can enforce coding standards or run tests before a commit is allowed. Another example is a post-receive hook, which can trigger actions on the server after changes are pushed.

Q27. Explain the concept of “git bisect” in detail.

A. Git bisect is a command used for binary search debugging. It helps find the commit where a bug was introduced by systematically narrowing down the range of commits to be tested. Developers mark known good and bad commits, and Git uses a binary search algorithm to identify the commit that introduced the bug efficiently.

Q28. How does Git handle merge conflicts, and what strategies can be employed to avoid them?

A. Git identifies merge conflicts when changes in different branches cannot be automatically merged. Developers can avoid conflicts by regularly pulling the latest changes, communicating effectively with team members, and using branching strategies that minimize the chance of conflicting changes.

Q29. How does Git handle binary files, and what considerations should be considered when dealing with them?

A. Git is less efficient with large binary files, and storing them directly in the repository can lead to performance issues. It’s recommended to use Git Large File Storage (LFS) or other external solutions for handling large binary files. This helps keep the repository size manageable and ensures better performance.

Git Best Practices

Q30. What are some best practices for writing Git commit messages?

  • Use descriptive and concise commit messages.
  • Start the message with a capitalized verb in the present tense.
  • Keep the message within 50 characters for the subject line.
  • Provide additional details in the body of the message if necessary.

Q31. How do you handle large binary files in Git?

A. Large binary files can quickly bloat Git repositories. It is recommended to use Git Large File Storage (LFS) or external storage solutions to handle large binary files efficiently.

Q32. How do you handle sensitive information in Git?

A. Sensitive information, such as passwords or API keys, should not be committed to a Git repository. Instead, use environment variables or configuration files excluded from version control.

Q33. How do you handle conflicts in a Git workflow?

A. Conflicts can occur when merging or rebasing branches with conflicting changes. Communicating and collaborating with other developers is important to resolve conflicts promptly.

Q34. How do you ensure code quality in a Git repository?

A. Code reviews, automated tests, and continuous integration are essential for maintaining code quality in a Git repository. Regularly reviewing and improving code helps catch bugs and ensures a stable codebase.

Q35. How do you collaborate with other developers using Git?

A. Git provides various collaboration features, such as pull requests and code reviews. These allow developers to review, discuss, and suggest changes to each other’s code before merging it into the main branch.

Git Tools and Integration

A. Some popular Git GUI tools include Sourcetree, GitKraken, and GitHub Desktop. These tools provide a graphical interface for managing Git repositories and simplifying common Git operations.

Q37. How do you integrate Git with continuous integration tools?

A. Continuous integration tools like Jenkins or Travis CI can be integrated with Git to automatically build, test, and deploy code changes. This ensures that changes are validated and integrated smoothly.

Q38. How do you integrate Git with issue-tracking systems?

A. Issue tracking systems, like Jira or GitHub Issues, can be integrated with Git to link code changes with specific issues or tasks. This helps in tracking progress and associating code changes with their respective requirements.

Q39. How do you integrate Git with code review tools?

A. Code review tools like Gerrit or Crucible can be integrated with Git to facilitate code reviews. These tools provide a platform for reviewing, commenting, and approving code changes before merging them.

Q40. What is rebasing in Git, and when might you use it in your workflow?

A. Rebasing is a Git operation that allows you to move or combine a sequence of commits to a new base commit. It is often used to maintain a cleaner and more linear project history. Developers might rebase when they want to integrate changes from one branch into another, make the commit history more readable, or resolve conflicts more controlled. However, it’s important to note that rebasing modifies commit history and should be used cautiously, especially when working in a collaborative environment.

Git Interview Tips

Q1. What are some common mistakes to avoid in a Git interview?

  • Lack of understanding of basic Git concepts and commands.
  • Inability to explain the purpose and benefits of Git in the software development process.
  • Poor knowledge of branching and merging strategies.
  • Inability to handle conflicts and resolve them effectively.

Q2. How do you prepare for a Git interview?

  • Review and practice Git commands and concepts.
  • Familiarize yourself with common Git workflows and best practices.
  • Solve Git-related coding exercises or challenges.
  • Explore real-world scenarios and case studies involving Git.

Q3. What are some resources for learning more about Git?

Several resources are available for learning Git, including online tutorials, documentation, books, and video courses. Some popular platforms for Git learning include Git official documentation, GitLab, GitHub, and Udemy.

Conclusion

In this article, we have covered 40 Git interview questions to help you prepare for your next job interview in 2025. Git is a powerful version control system that plays a crucial role in modern software development. By understanding the basics, advanced topics, best practices, and integration possibilities, you can showcase your expertise and stand out as a skilled Git user. Remember to practice and explore real-world scenarios to gain confidence in your Git skills. 

Upskill your data science acumen with Analytics Vidhya’s Github course for data scientists that empowers you with learning the value and the ins and out’s of Git and GitHub and using Git and GitHub to make your data science projects easier to track.

D
Deepsandhya Shukla

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